Back to Search Start Over

Hydrogen production using curtailed electricity of firm photovoltaic plants: Conception, modeling, and optimization.

Authors :
Yang, Guoming
Yang, Dazhi
Perez, Marc J.
Perez, Richard
Kleissl, Jan
Remund, Jan
Pierro, Marco
Cheng, Yuan
Wang, Yi
Xia, Xiang'ao
Xu, Jianing
Lyu, Chao
Liu, Bai
Zhang, Hao
Source :
Energy Conversion & Management. May2024, Vol. 308, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

A firm photovoltaic (PV) plant differs from a conventional unconstrained PV plant in terms of its ability to satisfy load demand on a 24/365 basis. Amongst various firm power enablers, overbuilding & proactive curtailment is the most counter-intuitive yet indispensable one. Although the cost-effectiveness of firm PV plants has been studied numerous times, few studies have evaluated the utilization of curtailed energy. To that end, this work advocates using the curtailed energy for hydrogen production, which is not impacted by the intermittency and variability of the curtailed power. A new mathematical optimization model that minimizes the firm kWh premium of the PV–battery–hydrogen hybrid system is put forth. Instead of using just generic modeling for the energy components (i.e., PV, battery, and electrolyzer), refined modeling, which could introduce bilinearity and nonlinearity, is herein considered. To address such optimization difficulty, a new algorithm, which hybridizes the particle swarm optimization and the branch-and-bound method, is proposed. The analysis reveals that the additional inclusion of a hydrogen production system within a firm PV plant is techno-economically attractive, and can lower the curtailment rate by 36%, and the overall firm kWh premium by almost 7%. What this implies is that, under the current market economics, the hydrogen production system becomes entirely free when used with firm PV plants. • A firm photovoltaic–battery–hydrogen hybrid system is proposed. • The hybrid system is able to meet demand 24/365 with 100% certainty. • A hybrid algorithm is proposed for the nonlinear optimization problem. • Power curtailment is necessary to achieve the lowest system cost. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01968904
Volume :
308
Database :
Academic Search Index
Journal :
Energy Conversion & Management
Publication Type :
Academic Journal
Accession number :
176811135
Full Text :
https://doi.org/10.1016/j.enconman.2024.118356